The lectures covers lots of SOTA deep learning algorithms and the lectures are well-designed and easy to understand. The programming assignment is really good to enhance the understanding of lectures.
The course is very good and has taught me the all the important concepts required to build a sequence model. The assignments are also very neatly and precisely designed for the real world application.
por Nikhil D K•
I decided to do this course after reading the first few pages of the Deep Learning book by Goodfellow, Bengio and Courville. I'll probably go back to that book now, to reinforce what I learnt from this set of 5 courses. I plan to also get more practice with the programming frameworks. The Tensorflow specialization is probably my next conquest.
por CH L•
This course is really fantastic. It teaches several of the most important contemporary applications of deep learning, and mentions lots of important points of these models.
The assignments are amazing. They are easy but still able to make sure you've gone through the whole design of models.
Definitely one of the best lectures I had in my life.
por Andrii S•
Many thanks to Professor Ng, this is absolutely the best online course that I've taken. It is fantastic how much value he creates for all of the learners, conveying very complex ideas from the world of deep learning in a simple and understandable way. I hope one day I will meet Professor Ng and thank him in person. An amazing specialization!
por Alam N•
Finally, after 6 months achieved desired goal in Deep Learning Specialization.
Thanks to #andrewng #coursera team for motivation and opportunity. It was not possible but due to #andrewng motivational words and explained deep knowledge in simple words. I can't express my feeling in words. Thanks again
Best wishes for Andrew Ng and Coursera Team
por juan m e b•
Excellent as always. This subjectcould easily take more weeks or even months to understand, but Andrew explains complicated concepts in very easy terms. Though sometimes it seems a bit esoteric and magical, due to how easy he makes it sound, it's a great start point to begin to investigate, read and implement the most important algorithms.
por Claes P•
This course challenged me. It forced me spend more time on the things you really need to understand before moving forward. Frustrating of course, but the reward is golden. It also tells me I need to learn more Keras. I was really inspired by the exercises, by all the things you actually can create by using the superpowers of deep learning.
por Alexandre C•
Excellent. I am doing a research on LTSM application for process plant data and asset health prognostics and the materials I found on the web were usually a bit "dry". The course enabled me understanding the concept mechanics and keras code basics to start using on my own applications - What else I could have asked for :D ?
por Anurag W•
I had a lot of fun doing these courses and weekly programming assignments.
Mr. Andrew Ng is a great instructor, he does a great job of explaining the neural network architecture and helps create an intuition behind difficult concept, these are really helpful at the end of each week when you are practising the programming assignments.
por Siddharth B•
I am grateful to Professor Andrew Ng. and the entire team of deeplearning.ai for giving me the platform to learn, practice and showcase the deep learning concepts in such an elegant and concise manner. The journey has truly been educative and enlightening and I look forward to applying the concepts and skills in my further endeavors.
por Amit P•
Andrew's ability to make complex topics so easy to understand is amazing. His explanation of the 'intuition' behind complex stuff makes you really understand what is going on and why. Very happy with the course, it provided everything I needed to know to understand it in detail and implement it. Thanks Andrew for making this course.
por Senthil K B•
Very useful course for me, since I am doing research in Natural Language Processing. As NLP require RNN and its variants as its implementation, this course helped in implementing my task using the Seq2Seq model. Explanation about each topic is very clear. With respect to mathematical equations, all the models are neatly explained.
por michael z•
An Amazing course which Imparts lots of knowledge.
The exercises of this course are very enjoyable and seem easy while providing really cool results, but in retrospect teach advanced material in such an engaging way that it only seems easy. The credit is with the incredible teachers of the course!
Thank you Andred Ng and all the TAs
por Vladimir L•
This is a great course, it gave me a good overview of how various types of data (written text, speech, images/video) are used in neural network models. The course materials smartly omit complexities behind pre-built deep learning models, and provide students with hands-on examples, which spark creativity and imagination. Thank you!
por RISHAV S•
The course is great and it builds on the last 4 course of deep learning specialization. It contains many nice topics of deep learning like RNN, NLP etc. There are some nice assignments also which you can relate with the real world. The whole Deep Learning specialization is great and every topic is nicely explained by Sir Andrew Ng.
por Parab N S•
Excellent Course on Sequence Models and training on how to use RNNs for practical applications. All the programming exercises were pretty fun and highly informative giving hands on experience on the use of a variety of sequence models. I would like to thank Professor Andre N.G. and his team for developing such a wonderful course.
por Rabih M•
Very Interesting course, well explained even if the topics are somehow difficult at certain points. Good and interesting Labs reflecting practical cases. But the problem was in Lab "Trigger word detection" where I encounter the error of not opening the lab and I try to solve it many times using the given solution before the lab.
por Michael L•
Great! I would really love some signal dynamics task in this course, maybe some predictor or estimator. As an engineer I am very interested in these applications. Thank you Andrew, and huge thanks to the entire team. I am sure you guys had an extremely hard time building the programming tasks, but it looks great and helps a lot!
por Satyam D•
Dear Prof Andrew Ng and deeplearning.ai team, Sequence Models is yet another excellent course where I have thoroughly enjoyed learning about new and powerful concepts of Deep Learning. The course content, quizzes and programming assignments are of the very highest quality. I am deeply grateful to the entire team. Thanks a lot!
por Rahuldeb D•
Really an awesome course. A bit difficult to grasp in three weeks. But, Prof. Andrew Ng has tried his best to make the content lucid. I am great full to all the faculty members for offering such an excellent course. I personally feel that if course can extended for another week then it will easier to understand the concepts.
por Navin S•
Very good course to learn things about Deep learniing. I think the Andrews courses keptmy interestin the courses with the video, quizes, assignments. I wish to challenge participants further, there should be (non-gradable) exercises based on the available util functions and contents. I mean where one has todobit more work.
por Nilanka W•
Awesome course. I did not know what it meant by Deeplearning at the start of the program, but now I'm confident on finding a way. Thanks prof Andrew NG and all the Instructors and team for organizing such a rich content. You probably have put a great effort. It was challenging but fully worth. And recommending to anyone !!
por Jonathan L•
Great lectures on the different structures of Sequence Models for use in Natural Language Processing, Text Translation, and Audio Recognition. There is a lot of material packed into 3 weeks, but this course will help anyone familiar with Deep Learning/CNNs to take a dive into the world of NLP and audio/speech recognition.
por Harold M•
This Sequence Models and RNNs course was a very challenging course in the specialization similar to that of Convolution Networks. I've learned a lot on these topics, and I will continue expanding my knowledge from here on.
Overall, this is a great and complete specialization on Deep Learning.
Thank you professor Andrew Ng.
por Himanshu S•
The topics covered in this course were a bit on the advanced side. The technologies used are most frequently used in the area of NLP. The course helps understand the basic concepts of NLP like word vectors and embedding, at the same time explains the very complex concepts like LSTM, GRUs and Attention models very well.
por Uday K B•
This course is perfect to learn deep insights of natural language processing, word2vec, speech recognition, trigger word detection and sentiment analysis among others. This course not only trains in using open-source libraries, but also trains to learn how to implement these life-changing techniques all by ourselves.